Location Privacy via Private Proximity Testing

Arvind Narayanan; Narendran Thiagarajan; Mugdha Lakhani; Michael Hamburg; Dan Boneh

Location Privacy via Private Proximity Testing

Arvind Narayanan, Narendran Thiagarajan, Mugdha Lakhani, Michael Hamburg, Dan Boneh

Research output: Contribution to conference › Paper › peer-review

Abstract

We study privacy-preserving tests for proximity: Alice can test if she is close to Bob without either party revealing any other information about their location. We describe several secure protocols that support private proximity testing at various levels of granularity. We study the use of “location tags” generated from the physical environment in order to strengthen the security of proximity testing. We implemented our system on the Android platform and report on its effectiveness. Our system uses a social network (Facebook) to manage user public keys.

Original language	English (US)
State	Published - 2011
Externally published	Yes
Event	18th Symposium on Network and Distributed System Security, NDSS 2011 - San Diego, United States Duration: Feb 6 2011 → Feb 9 2011

Conference

Conference	18th Symposium on Network and Distributed System Security, NDSS 2011
Country/Territory	United States
City	San Diego
Period	2/6/11 → 2/9/11

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Control and Systems Engineering
Safety, Risk, Reliability and Quality

Cite this

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title = "Location Privacy via Private Proximity Testing",

abstract = "We study privacy-preserving tests for proximity: Alice can test if she is close to Bob without either party revealing any other information about their location. We describe several secure protocols that support private proximity testing at various levels of granularity. We study the use of “location tags” generated from the physical environment in order to strengthen the security of proximity testing. We implemented our system on the Android platform and report on its effectiveness. Our system uses a social network (Facebook) to manage user public keys.",

author = "Arvind Narayanan and Narendran Thiagarajan and Mugdha Lakhani and Michael Hamburg and Dan Boneh",

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AU - Narayanan, Arvind

AU - Thiagarajan, Narendran

AU - Lakhani, Mugdha

AU - Hamburg, Michael

AU - Boneh, Dan

PY - 2011

Y1 - 2011

N2 - We study privacy-preserving tests for proximity: Alice can test if she is close to Bob without either party revealing any other information about their location. We describe several secure protocols that support private proximity testing at various levels of granularity. We study the use of “location tags” generated from the physical environment in order to strengthen the security of proximity testing. We implemented our system on the Android platform and report on its effectiveness. Our system uses a social network (Facebook) to manage user public keys.

AB - We study privacy-preserving tests for proximity: Alice can test if she is close to Bob without either party revealing any other information about their location. We describe several secure protocols that support private proximity testing at various levels of granularity. We study the use of “location tags” generated from the physical environment in order to strengthen the security of proximity testing. We implemented our system on the Android platform and report on its effectiveness. Our system uses a social network (Facebook) to manage user public keys.

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M3 - Paper

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T2 - 18th Symposium on Network and Distributed System Security, NDSS 2011

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ER -

Location Privacy via Private Proximity Testing

Abstract

Conference

All Science Journal Classification (ASJC) codes

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